samuelgursky/davinci-resolve-mcp

Overview

An MCP server that exposes DaVinci Resolve Studio's scripting API through the Model Context Protocol, enabling AI assistants to control the video editing software programmatically. It translates natural language requests into Resolve API calls for timeline manipulation, clip management, and export operations.

Best for

Best for
Video editors and post-production teams who want to automate Resolve tasks via AI assistants

Use cases

• Automating repetitive editing tasks like timeline assembly and color grading
• Generating video exports from AI-driven scripts or voice commands
• Integrating DaVinci Resolve into larger AI-assisted post-production pipelines

How to use

Install

npx davinci-resolve-mcp setup

Tested with

Claude Desktop, Claude Code, Cursor, Windsurf, Cline, Continue, VS Code

Notes

An MCP server that exposes DaVinci Resolve Studio’s scripting API through the Model Context Protocol, enabling AI assistants to control the video editing software programmatically. It translates natural language requests into Resolve API calls for timeline manipulation, clip management, and export operations.

1,159 stars on GitHub. Last updated 2026-05-29. Licensed MIT.

Use cases

• Automating repetitive editing tasks like timeline assembly and color grading
• Generating video exports from AI-driven scripts or voice commands
• Integrating DaVinci Resolve into larger AI-assisted post-production pipelines

Pros

• Bridges AI assistants directly with a professional video editor
• Open source with active community (1159 stars) and Python-based
• Reduces manual editing overhead for scripted workflows

Cons

• Requires DaVinci Resolve Studio (paid version) to function
• Limited to operations exposed by Resolve’s scripting API
• Dependency on MCP protocol may restrict non-compatible AI tools

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.